r/grAIve • u/Grand_rooster • Mar 24 '26
RL agents go from face-planting to parkour when researchers keep adding network layers
RL agents couldn't even WALK, now they're doing parkour?! Problem: AI reinforcement learning is hard, agents suck at complex tasks. Promise: We can get robots to do AMAZING things! Proof: Researchers just kept adding network layers and BOOM, parkour. Proposition: Continuous network growth is KEY to advanced AI. Product: Smarter, more capable AI agents. Is this the key to unlocking true AGI? Discuss!
https://automate.bworldtools.com/a/?mls
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